Monitoring

Overview

Comprehensive monitoring system for tracking chaos test execution, system health, and performance metrics.

Metrics Collected

System Health

• CPU/Memory usage of AI engine workers

• Queue depth and processing latency

• API response times

• Error rates and types

Test Execution

• Active test count

• Test completion rate

• Average test duration

• Success/failure ratios

Token Economics

• Transaction volume

• Fee collection rate

• Stake amounts and duration

• Governance participation rate

Implementation

Prometheus Integration

import { Registry, Counter, Gauge } from 'prom-client';

// Initialize metrics
const registry = new Registry();
const activeTests = new Gauge({
    name: 'glitch_active_tests',
    help: 'Number of currently running chaos tests'
});
const testCompletions = new Counter({
    name: 'glitch_test_completions_total',
    help: 'Total number of completed tests'
});

Grafana Dashboards

• System Overview

• Test Execution Metrics

• Token Economics

• Governance Activity

Alerting Rules

groups:
  - name: glitch-alerts
    rules:
      - alert: HighErrorRate
        expr: rate(glitch_errors_total[5m]) > 0.1
        for: 2m
        labels:
          severity: warning
      - alert: QueueBacklog
        expr: glitch_queue_depth > 100
        for: 5m
        labels:
          severity: critical

Setup Instructions

1. Install Dependencies:

npm install prom-client winston @opentelemetry/api

1. Configure Prometheus:

scrape_configs:
  - job_name: 'glitch-gremlin'
    static_configs:
      - targets: ['localhost:9090']

1. Start Monitoring:

import { startMetricsServer } from './monitoring';
await startMetricsServer(9090);

Best Practices

1. Regular Metric Review

• Monitor error rates daily

• Review performance weekly

• Analyze token metrics monthly

1. Alert Configuration

• Set appropriate thresholds

• Avoid alert fatigue

• Document response procedures

1. Dashboard Organization

• Group related metrics

• Use clear labels

• Include helpful descriptions

Next Steps

• Set up Prometheus instance

• Configure Grafana dashboards

• Implement basic alerting

• Add custom metrics